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Categories: Geoscience: Volcanoes, Mathematics: Modeling
Published Predicting lava flow
(via sciencedaily.com) A team is collecting data that will be used to create models that can help improve lava flow forecasting tools that are useful in determining how hazards impact populations. One such tool, known as MOLASSES, is a simulation engine that forecasts inundation areas of lava flow.
Published Using drones to monitor volcanoes: Researchers analyze volcanic gases with the help of ultra-lightweight sensor systems
(via sciencedaily.com) The main gases released by volcanoes are water vapor, carbon dioxide, and sulfur dioxide. Analyzing these gases is one of the best ways of obtaining information on volcanic systems and the magmatic processes that are underway. The ratio of carbon dioxide levels to those of sulfur dioxide can even reveal the likelihood of an impending eruption. Drones are employed to carry the necessary analytical systems to the site of activity.
Published Study shows how machine learning could predict rare disastrous events, like earthquakes or pandemics
(via sciencedaily.com) Researchers suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.
Published Artificial Intelligence searches an early sign of osteoarthritis from an x-ray image
(via sciencedaily.com) Researchers have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images. AI was able to match a doctors' diagnosis in 87% of cases. The result is important because x-rays are the primary diagnostic method for early knee osteoarthritis. An early diagnosis can save the patient from unnecessary examinations, treatments and even knee joint replacement surgery.
Published AI model proactively predicts if a COVID-19 test might be positive or not
(via sciencedaily.com) A new study shows machine-learning models trained using simple symptoms, demographic features are effective in predicting COVID-19 infections.
Published Signals from the ionosphere could improve tsunami forecasts
(via sciencedaily.com) The powerful volcanic eruption in January 2022 created ripple effects throughout the world's atmosphere and oceans. Analysis of the Hunga Tonga eruption shows how signals from the ionosphere could help monitor future volcanoes and tsunamis.
Published Hummingbird flight could provide insights for biomimicry in aerial vehicles
(via sciencedaily.com) Using a novel modeling method, a team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
Published A peculiar protected structure links Viking knots with quantum vortices
(via sciencedaily.com) Original source Mathematical analysis identifies a vortex structure that is impervious to decay.
Published Revealing the complex magnetization reversal mechanism with topological data analysis
(via sciencedaily.com) The reliability of data storage and writing speed in advanced magnetic devices depend on drastic, complex changes in microscopic magnetic domain structures. However, it is extremely challenging to quantify these changes, limiting our understanding of magnetic phenomena. To tackle this, researchers developed, using machine learning and topology, an analysis method that quantifies the complexity of the magnetic domain structures, revealing hidden features of magnetization reversal that are hardly seen by human eyes.
Published Curved spacetime in the lab
(via sciencedaily.com) In a laboratory experiment, researchers have succeeded in realizing an effective spacetime that can be manipulated. In their research on ultracold quantum gases, they were able to simulate an entire family of curved universes to investigate different cosmological scenarios and compare them with the predictions of a quantum field theoretical model.
Published Finding simplicity within complexity
(via sciencedaily.com) With the theory that for every action, even those seemingly complex and random, there is a math problem that describes it, a researcher is publishing a new formula that helps find that equation quickly. Yes, he's speeding up science.
Published Coupled computer modeling can help more accurately predict coastal flooding, study demonstrates
(via sciencedaily.com) Researchers used a unique coupled computer modeling approach to accurately recreate the coastal flooding that occurred during Hurricane Florence, demonstrating that it is more accurate than traditional modeling approaches.
Published Explainable AI-based physical theory for advanced materials design
(via sciencedaily.com) Microscopic image data is key to developing low-power, high-speed electronic devices. However, the complex interactions in nanoscale magnetic materials are difficult to understand. A research group has now realized a new functional design theory called 'extended Landau free energy model' that combines topology and AI with free energy to automate the interpretation of the microscopic image. This model illustrates the physical mechanism and critical location of magnetization reversal and proposes a device structure with low energy consumption.
Published A simpler path to better computer vision
(via sciencedaily.com) Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing other pretraining methods that are more costly and time consuming, and less scalable.
Published Glass-like shells of diatoms help turn light into energy in dim conditions
(via sciencedaily.com) A new study has revealed how the glass-like shells of diatoms help these microscopic organisms perform photosynthesis in dim conditions. A better understanding of how these phytoplankton harvest and interact with light could lead to improved solar cells, sensing devices and optical components.
Published Monitoring 'frothy' magma gases could help evade disaster
(via sciencedaily.com) Volcanic eruptions are dangerous and difficult to predict. A team has found that the ratio of atoms in specific gases released from volcanic fumaroles (gaps in the Earth's surface) can provide an indicator of what is happening to the magma deep below -- similar to taking a blood test to check your health. This can indicate when things might be 'heating up.' Specifically, changes in the ratio of argon-40 and helium-3 can indicate how frothy the magma is, which signals the risk of different types of eruption. Understanding which ratios of which gases indicate a certain type of magma activity is a big step. Next, the team hopes to develop portable equipment which can provide on-site, real-time measurements for a 24/7 volcanic activity monitoring and early warning system.
Published Scientists promote FAIR standards for managing artificial intelligence models
(via sciencedaily.com) Computational scientists adopt new framework for making AI models more findable, accessible, interoperable and reusable.
Published Tonga volcano had highest plume ever recorded
(via sciencedaily.com) Using images captured by satellites, researchers have confirmed that the January 2022 eruption of the Hunga Tonga-Hunga Ha'apai volcano produced the highest-ever recorded plume. The colossal eruption is also the first to have been directly observed to have broken through to the mesosphere layer of the atmosphere.
Published Volcanic activity and low ocean oxygen events linked to climate warming and rapid ice melt during last ice age, study finds
(via sciencedaily.com) A chemical analysis of sediment cores from the North Pacific Ocean show a consistent pairing of volcanic ash and hypoxia, a low ocean oxygen interval spanning thousands of years, during times of rapid climate warming at the end of the last ice age, new research shows.
Published How network pruning can skew deep learning models
(via sciencedaily.com) Computer science researchers have demonstrated that a widely used technique called neural network pruning can adversely affect the performance of deep learning models, detailed what causes these performance problems, and demonstrated a technique for addressing the challenge.